# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Mobilenet_v2."""

from typing import Any

from mindvision.classification.models.classifiers import BaseClassifier
from mindvision.classification.models.backbones import MobileNetV2
from mindvision.classification.models.head import DenseHead
from mindvision.classification.models.neck import GlobalAvgPooling


def mobilenet_v2(num_classes: int = 1000, **kwargs: Any) -> MobileNetV2:
    """Mobilenet_v2 structure."""
    backbone = MobileNetV2(**kwargs)
    neck = GlobalAvgPooling()
    head = DenseHead(input_channel=1280, num_classes=num_classes)
    model = BaseClassifier(backbone, neck, head)
    return model
